Failed-ML
ML-YouTube-Courses
Failed-ML | ML-YouTube-Courses | |
---|---|---|
1 | 309 | |
691 | 14,378 | |
- | 1.1% | |
5.2 | 7.2 | |
8 days ago | 4 months ago | |
MIT License | Creative Commons Zero v1.0 Universal |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Failed-ML
-
Rapporter på AI lösningar som blivit fel/misslyckats på något vis. Finns det några svenska exempel?
En relaterad databas/listor på misslyckade AI applikationer: https://github.com/kennethleungty/Failed-ML
ML-YouTube-Courses
What are some alternatives?
BetaML.jl - Beta Machine Learning Toolkit
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
Transformers-Recipe - 🧠A study guide to learn about Transformers
AI-Conference-Info - Extensive acceptance rates and information of main AI conferences
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
RubixML - A high-level machine learning and deep learning library for the PHP language.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.